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Netcdf at the 4TU.Centre for Research Data NetCDF at the 4TU.Centre for Research Data Maria Cruz and Egbert Gramsbergen, TU Delft, July 2018 With significant contributions to the “Technical Services” section from (listed in alphabetical order) Kees den Heijer (TU Delft), Niels Drost (Netherlands eScience Center), Chris Schubert (Climate Change Centre Austria), and Julia Wagemann (European Centre for Medium-Range Weather Forecasts). With special thanks to Marta Teperek and Alastair Dunning for their many comments and invaluable feedback. Executive summary 2 Aims and scope 4 What is netCDF? 5 NetCDF and the CF metadata standards and conventions 5 NetCDF and FAIR data 6 Overview of netCDF data and services at 4TU.ResearchData 7 The data 7 The services 9 Interviews with netCDF data depositors and users 10 Methodology 10 Main findings 10 Use of the archive 10 Use and knowledge of netCDF 12 What services and improvements could we offer in the future? 13 Training, advice, and guidance 13 Technical services 13 Production of netCDF 13 Consumption of netCDF 14 Conclusions 17 Recommendations 17 Acknowledgements 18 References 19 2 | NetCDF at the 4TU.Centre for Research Data Executive summary The 4TU.Centre for Research Data (short version: 4TU.ResearchData) was started in 2008 as a collaboration of the libraries of three universities of technology in the Netherlands: Delft University of Technology, Eindhoven University of Technology, and the University of Twente. The data archive, which has been fully operational since about 2010, collects data in science and engineering in a permanent and sustainable manner. Presently, around 90% of the data (both in terms of volume and number of datasets) stored in the archive are atmospheric and environmental research datasets coded in netCDF – a data format and ​ ​ model that, although generic, is mainly and widely used in climate and atmospheric sciences and oceanography. 4TU.ResearchData has a special interest in this area and it offers specific services and tools to enhance the access to netCDF datasets. In particular, netCDF files can be accessed via the OPeNDAP (Open-source Project for a Network Data Access Protocol) protocol, the main advantage of which is the ability to retrieve subsets of files without the need to download whole datasets. To better understand netCDF data at 4TU.ResearchData – the datasets and their contributors as well as the services and their users – we conducted desk-based research and a series of semi-structured ​ qualitative interviews with researchers based in the Netherlands who use and produce netCDF data. ​ This report provides an overview of the current data and services and explores options for ​ ​ ​ 4TU.ResearchData to expand its services related to netCDF data. The analysis is broad in scope, ​ assessing opportunities for creating not just technical services related to storing and archiving netCDF data, but also for advice and guidance, and the advantages that could accrue from building a community of data depositors and users. Our main conclusions are that the creators and users of the netCDF data stored in 4TU.ResearchData ​ represent heterogeneous research communities within the Earth sciences. They have different views and attitudes to data archiving and data publishing, and store netCDF datasets with very different spatio-temporal characteristics in the archive. Ensuring that any new and current netCDF services continue to be relevant to these communities will require taking this diversity into account. A need for training and guidance – particularly on data management aspects related to documentation, ​ ​ metadata standards and conventions – is the common thread uniting these communities. This will provide the way forward for 4TU.ResearchData to build a community of data depositors and users. Expanding technical services beyond what is already provided might be more difficult, given the diversity ​ of the data and the depositors and users, but there are a few services that could help support community building efforts, with the desired goal being higher-quality data and increased rates of data reuse. 3 | NetCDF at the 4TU.Centre for Research Data Recommendations: ● Organise a workshop on netCDF metadata standards and conventions, focussing on how 4TU.ResearchData could provide training, advice, and guidance in this area. This workshop should include researchers who use and deposit netCDF data in 4TU.ResearchData and other partners in the Netherlands and beyond (from the research community, industry, and similar service providers), who are also interested in this topic. The workshop would serve as a first step to build a national community and a way to continue to build links internationally. ● To help accrue higher-quality data and promote data reuse and to support community building efforts, strengthen and improve communications about 4TU.ResearchData and its netCDF data and services, nationally and internationally. ● Host and keep updating and improving the existing netCDF Kickstarter open source tool, which provides templates for the production of netCDF files conforming to community-defined metadata standards and conventions. In line with the two previous recommendations, promote its use through training sessions and workshops. ● Because there is an important trend in big data, and in particular Earth observation data, for bringing the users to the data, further explore the feasibility of offering a customizable interface to analyse and visualise netCDF data. Such an environment could be created with Jupyter Notebooks/Labs. It might require cooperation from the TU Delft ICT department and some software development expertise. 4 | NetCDF at the 4TU.Centre for Research Data Aims and scope The 4TU.Centre for Research Data (short version: 4TU.ResearchData; formerly known as ‘3TU.DataCentrum’) began in 2008 as a collaboration and initiative of the libraries of Delft University of Technology (TU Delft), Eindhoven University of Technology (TU Eindhoven), and the University of Twente. 4TU.ResearchData was originally built “as a data curation facility to meet the diverse needs of heterogeneous research communities” (Rombouts and Princic, 2010). The archive, which has been fully operational since about 2010, collects data from many fields and subjects in science and engineering. Presently, around 90% of the data (both in terms of volume and number of datasets) in the 4TU.ResearchData archive are atmospheric and environmental research datasets stored as netCDF. ​ ​ Thus, 4TU.ResearchData has a special interest in this area and it offers specific services and tools to enhance the access to netCDF datasets. This report provides an overview of these data and services and explores options for 4TU.ResearchData ​ ​ ​ to expand its services related to netCDF data. The analysis is broad in scope, assessing opportunities for ​ creating not just technical services related to storing and archiving netCDF data, but also for advice and guidance, and the advantages that could accrue from building a community of data depositors and users. This work is part of a larger endeavour to ensure that 4TU.ResearchData remains relevant and successful in the long term in a rapidly evolving research data management landscape (Cruz et al., 2018). It is ​ ​ underpinned by two key ideas: 1. Repositories need to have a subject or format focus to remain relevant and be successful in the long term (Cruz, 2018a). 2. Data reuse requires well-informed, sustainable, inclusive, participatory development of data infrastructures (Leonelli, 2017). Desk-based research was supplemented by a series of semi-structured qualitative interviews with ​ ​ researchers based in the Netherlands who use and produce netCDF data. 5 | NetCDF at the 4TU.Centre for Research Data What is netCDF? The Network Common Data Form, or netCDF, is more than just a data format. It is a data format and a data model for scientific data and metadata; it is a set of software libraries that allow storage, access, and sharing of array-oriented data1. NetCDF2 was developed in the late 1980s and is maintained by Unidata3. Although the format is generic enough to be used in any discipline or subject where the data can be ​ modelled as an annotated, multi-dimensional array, netCDF is mainly and widely used in oceanography, ​ climate and atmospheric sciences. Although it is not an intrinsically geospatial format, netCDF is widely used for geospatial data4. As described in Unidata documentation5, netCDF data is: ● Self-Describing. A netCDF file includes information about the data it contains. ​ ● Portable. A netCDF file can be accessed by computers with different ways of storing integers, ​ characters, and floating-point numbers. ● Scalable. A small subset of a large dataset may be accessed efficiently. ​ ● Appendable. Data may be appended to a properly structured netCDF file without copying the ​ dataset or redefining its structure. ● Shareable. One writer and multiple readers may simultaneously access the same netCDF file. ​ ● Archivable. Access to all earlier forms of netCDF data will be supported by current and future ​ versions of the software. Thus, the format is very interesting from an archival and data sharing point of view. NetCDF and the CF metadata standards and conventions NetCDF data are self-describing in a fully machine-readable way in that metadata are included together with the data in one single container – the data file itself. However, as noted by Rew and Davis (1997): 1 "Unidata | NetCDF." https://www.unidata.ucar.edu/netcdf/. Last accessed 16 July 2018. ​ ​ ​ 2 Since version 4 (the latest), netCDF is based on the more generic Hierarchical Data Format (HDF). NetCDF4 is a ​ subset of HDF5, meaning that a HDF5 file that avoids some specific non-netCDF-compatible constructs can be treated as netCDF. 3 Unidata is a community of education and research institutions with the common goal of sharing geoscience data ​ and the tools to access and visualize that data. Unidata is a member of the UCAR Community Programs, managed by the University Corporation for Atmospheric Research (UCAR) and funded by the US National Science Foundation. 4 "NetCDF-4 (Network Common Data Form, version 4)." 11 Apr. 2017, ​ https://www.loc.gov/preservation/digital/formats/fdd/fdd000332.shtml.
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